Results 281 to 290 of about 33,963 (308)

Using conjoint-measurement models to investigate a theory about probabilistic information processing

Journal of Mathematical Psychology, 1976
Abstract A theory of how opinions are formed and revised on the basis of probabilistic evidence is presented. The decision maker is viewed as a limited information processor who attends to the dimensions of a sample of equivocal information in a sequential fashion, beginning with the most salient dimension and continuing in decreasing order of ...
openaire   +2 more sources

Importance Measures from Reliability Theory for Probabilistic Assumption-Based Reasoning

2001
Importance measures are a well-known concept developed in reliability theory. Here, we apply this concept to assumption-based reasoning, a field which in fact is quite close to reliability theory. Based on quasi-supporting and supporting arguments, we develop two concepts of importance measures and show how they are related to the ones from reliability
openaire   +1 more source

Geometry Is Measurement but Measurement Theory Is More than Geometry. Review of Foundations of Measurement, Vol. 2: Geometrical, Threshold, and Probabilistic Representations, by Patrick Suppes, David H. Krantz, R. Duncan Luce, Amos Tversky

Journal of Mathematical Psychology, 1993
Abstract Patrick Suppes, professor of philosophy, statistics, education, and psychology at Stanford University (California), president of Computer Curriculum Corporation (Palo Alto, California), and recipient of the American Psychological Association's (APA's) Distinguished Scientific Contribution Award, is author of the chapter "Philosophy and the ...
openaire   +1 more source

The Rasch model, additive conjoint measurement, and new models of probabilistic measurement theory.

Journal of applied measurement, 2002
This research describes some of the similarities and differences between additive conjoint measurement (a type of fundamental measurement) and the Rasch model. It seems that there are many similarities between the two frameworks, however, their differences are nontrivial.
openaire   +1 more source

A consensus process based on regret theory with probabilistic linguistic term sets and its application in venture capital

Information Sciences, 2021
Xiaoli Tian, Zeshui Xu, Jing Gu
exaly  

A generalized probabilistic theory of the measurement of certainty and information

1981
Electrical Engineering, Mathematics and Computer ...
openaire   +1 more source

Measurement Theory: Probabilistic

2001
D. Heyer, R. Niederée
openaire   +1 more source

A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets

Information Fusion, 2023
Xueling Ma, Gang Kou, Enrique Herrera-Viedma   +2 more
exaly  

Probabilistic notch fatigue assessment under size effect using weakest link theory

Engineering Fracture Mechanics, 2022
Shun-Peng Zhu, Jin-Chao He, Qingyuan Wang   +2 more
exaly  

A decision-making framework based on prospect theory with probabilistic linguistic term sets

Journal of the Operational Research Society, 2021
Jing Gu, Xiaoli Tian, Zeshui Xu
exaly